AspectContinuityDifferentiability
DefinitionNo breaks/jumps in the graphSmooth curve with a defined tangent
Conditionlim⁡x→a_{x→a} f(x)=f(a)Derivative exists at x=a
RelationshipDifferentiability ⇒ ContinuityContinuity does not ⇒ Differentiability
Example(f(x)=x)(f(x) = x) is continuous at 0\(f(x) =x\) is continuous at 0
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1. Continuity

A function ff is said to be continuous at a point cc in its domain if the limit of the function at that point equals the value of the function at that point.

Mathematically, ff is continuous at x=cx = c if:

lim⁡x→cf(x)=f(c)\lim_{x \to c} f(x) = f(c)

This implies that the Left-Hand Limit (LHL), Right-Hand Limit (RHL), and the function value must all be equal:

lim⁡x→c−f(x)=lim⁡x→c+f(x)=f(c)\lim_{x \to c^-} f(x) = \lim_{x \to c^+} f(x) = f(c)

  • Algebra of Continuous Functions: If ff and gg are continuous functions at x=cx = c, then:

    • f±gf \pm g is continuous at x=cx = c.

    • f⋅gf \cdot g is continuous at x=cx = c.

    • fg\frac{f}{g} is continuous at x=cx = c (provided g(c)≠0g(c) \neq 0).

  • Composite Functions: If gg is continuous at cc and ff is continuous at g(c)g(c), then the composite function (f∘g)(f \circ g) is continuous at cc.

Constant function graph

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5.1

Question / ConceptExplanation / AnswerContinuity StatusDifferentiability Status
1. Constant Function f(x)=kOutput is always k; graph is a horizontal line.Continuous for all x.Differentiable for all x; derivative f′(x)=0.
2. Identity Function f(x)=xStraight line through origin; slope = 1.Continuous everywhere.Differentiable everywhere; f′(x)=1.
3. Polynomial Function f(x)=xnx^nSmooth curve; no breaks.Continuous for all real x.Differentiable for all real x; f′(x)=n xn−1x^{n−1}.
4. Rational Function f(x)=p(x)/q(x)Continuous except where denominator q(x)=0.Continuous on domain (where q(x)≠0).Differentiable on domain; undefined at poles.
5. Root Function f(x)=xxDefined only for x≥0.Continuous for x≥0.Differentiable for x>0; not differentiable at x=0.
6. Modulus Function (f(x)= |x|V‑shaped graph; sharp corner at 0.Continuous everywhereNot differentiable at x=0.
7. Exponential Function f(x)=exe^xSmooth increasing curve.Continuous for all x.Differentiable for all x; f′(x)=exe^x
8. Logarithmic Function f(x)=log⁡xDefined for x>0.Continuous for x>0.Differentiable for x>0; f′(x)=1/x.
9. Trigonometric Functions f(x)=sin⁡x,cos⁡xPeriodic and smooth.Continuous for all x.Differentiable for all x; f′(x)=cos⁡x,−sin⁡x.
10. Piecewise FunctionsDefined by different rules on intervals.Continuous only if left‑ and right‑limits match at boundaries.Differentiable only if slopes also match at boundaries.
Function TypeContinuous?Differentiable?Notes
Constant✅ Everywhere✅ Everywheref′(x)=0
Identity✅ Everywhere✅ Everywheref′(x)=1
Polynomial✅ Everywhere✅ EverywhereSmooth curve
Rational⚠️ Except where denominator = 0⚠️ Same restrictionUndefined at poles
Root✅ for x≥0⚠️ Not at x=0Domain limited
Modulus✅ Everywhere❌ at x=0Sharp corner
Exponential✅ Everywhere✅ Everywheref′(x)=exe^x
Logarithmic✅ for x>0✅ for x>0Domain limited
Trigonometric✅ Everywhere✅ EverywhereSmooth periodic
Piecewise⚠️ Depends on matching limits⚠️ Depends on slope continuityCheck boundaries

What Each Subplot Shows

  • 1 Constant horizontal line f(x)=2 showing continuity everywhere.

  • 2 Identity line f(x)=x continuous and differentiable everywhere.

  • 3 Polynomial f(x)=x3x^3−3x smooth everywhere.

  • 4 Rational f(x)=1x−1 with a vertical asymptote at x=1.

  • 5 Root f(x)=x domain start at x=0.

  • 6 Modulus f(x)=∣x∣ marking non-differentiable corner at x=0.

  • 7 Exponential f(x)=exe^x smooth everywhere.

  • 8 Logarithmic f(x)=ln⁡x domain x>0 shown with boundary near 0.

  • 9 Trigonometric f(x)=sin⁡x periodic and smooth.

  • 10 Piecewise f(x)={x+2} x<0; x2x^2 x≥0 marking the boundary at x=0 and indicating continuity/differentiability status.

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Theorem of Limits

TheoremFormula / StatementWhen to use
Constantlim⁡x→a_{x→a} c=ctrivial cases
Sum/Product/Quotientlim⁡(f±g)=lim⁡f±limglim⁡(f±g)=lim⁡f±limg,
lim⁡(fg)=lim⁡f⋅lim⁡glim⁡(fg)=lim⁡f⋅lim⁡g,
lim⁡(f/g)=lim⁡f/lim⁡glim⁡(f/g)=lim⁡f/lim⁡g
component limits exist
Power/Polynomiallim⁡xnx^n=ana^n; polynomials continuousdirect substitution
Compositionlim⁡g(f(x))=g(lim⁡f(x)) if g continuousnested functions
SqueezeIf h≤f≤g and lim⁡h=lim⁡g=L then lim⁡f=Lbounded/oscillatory cases

2. Differentiability

A function ff is differentiable at a point cc in its domain if the following limit exists:

f′(c)=lim⁡h→0f(c+h)−f(c)hf'(c) = \lim_{h \to 0} \frac{f(c+h) - f(c)}{h}

For differentiability, the Left-Hand Derivative (LHD) must equal the Right-Hand Derivative (RHD).

  • Relation to Continuity: Every differentiable function is continuous, but the converse is not true. For example, f(x)=∣x∣f(x) = |x| is continuous at x=0x = 0 but not differentiable there (it has a "sharp corner").

3. Rules of Differentiation

  • Chain Rule: Used for composite functions. If y=f(u)y = f(u) and u=g(x)u = g(x), then:

    dydx=dydu⋅dudx\frac{dy}{dx} = \frac{dy}{du} \cdot \frac{du}{dx}

  • Implicit Differentiation: When yy is not explicitly expressed in terms of xx (e.g., x2+y2=sin⁡(xy)x^2 + y^2 = \sin(xy)), we differentiate both sides with respect to xx and solve for dydx\frac{dy}{dx}.

  • Parametric Differentiation: If x=f(t)x = f(t) and y=g(t)y = g(t), then:

    dydx=dy/dtdx/dt(provided dxdt≠0)\frac{dy}{dx} = \frac{dy/dt}{dx/dt} \quad (\text{provided } \frac{dx}{dt} \neq 0)

4. Standard Derivatives

Function f(x)Derivative f′(x)
sin⁡−1x\sin^{-1} x11−x2\frac{1}{\sqrt{1-x^2}}
cos⁡−1x\cos^{-1} x−11−x2-\frac{1}{\sqrt{1-x^2}}
tan⁡−1x\tan^{-1} x11+x2\frac{1}{1+x^2}
exe^xexe^x
log⁡x\log x1x\frac{1}{x}
axa^xaxlog⁡aa^x \log a

5. Logarithmic Differentiation

This technique is powerful for functions of the form y=[u(x)]v(x)y = [u(x)]^{v(x)}. We take the natural logarithm on both sides (log⁡y=v(x)log⁡u(x)\log y = v(x) \log u(x)) and then differentiate implicitly.

6. Second Order Derivative

If y=f(x)y = f(x), the second order derivative is the derivative of f′(x)f'(x), denoted as d2ydx2\frac{d^2y}{dx^2} or y′′y'' or f′′(x)f''(x).

7. Mean Value Theorems

  • Rolle’s Theorem: If ff is continuous on [a,b][a, b], differentiable on (a,b)(a, b), and f(a)=f(b)f(a) = f(b), then there exists at least one c∈(a,b)c \in (a, b) such that f′(c)=0f'(c) = 0.

  • Lagrange’s Mean Value Theorem (MVT): If ff is continuous on [a,b][a, b] and differentiable on (a,b)(a, b), then there exists at least one c∈(a,b)c \in (a, b) such that:

    f′(c)=f(b)−f(a)b−af'(c) = \frac{f(b) - f(a)}{b - a}

    Geometrically, this means there is a point where the tangent is parallel to the secant line joining the endpoints.

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